State-space exploration is an essential step in many modeling and analysis problems.Its goal is to find the states reachable from the initial state of a discrete-state model described.The state space can used to answer important questions, e.g., "Is there a dead state?" and "Can N become negative?", or as a starting point for sophisticated investig
The purpose of this work was to quantify the variation of chamber transparency over the period of one month of measurements and its impact on estimates of peatland net ecosystem exchange.The automated transparent closed (non-steady-state) chambers are widely used for quantifying net carbon dioxide (CO2) fluxes exchanged between different canopies a
Achieving The United Nations sustainable developments goals by 2030 will be a challenge.Researchers around the world are working toward this aim across the breadth of healthcare.Technology, and more especially artificial intelligence, has the ability to propel us forwards and support these goals but requires careful application.Artificial intellige
High-performance induction motor (IM) drives require fast dynamic responses, robust to parameter variations, withstand load disturbance, stable control systems, and support easy hardware/software implementation.Fuzzy logic control (FLC) for speed controllers is garnering attention from researchers, since it is proven to produce better results compa